6533b833fe1ef96bd129b8e9

RESEARCH PRODUCT

A mixed FES/EMG system for real time analysis of muscular fatigue

Stéphane BinczakMaxime YochumToufik BakirRomuald LepersSabir Jacquir

subject

Engineering0206 medical engineering02 engineering and technologyElectromyographyUSBSensitivity and SpecificitySignallaw.invention03 medical and health sciences0302 clinical medicinelawElectronic engineeringmedicineHumansMuscle SkeletalSimulationContinuous wavelet transformMuscle fatiguemedicine.diagnostic_testElectromyographybusiness.industryReproducibility of ResultsWavelet transformEquipment Design020601 biomedical engineeringElectric Stimulation[SPI.TRON] Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsEquipment Failure AnalysisMaxima and minimaMuscle Fatiguemedicine.symptombusinessAlgorithmsSoftware030217 neurology & neurosurgeryMuscle ContractionMuscle contraction

description

International audience; In this article, we present a functional electrical stimulator allowing the extraction in real time of M-wave characteristics from resulting EMG recodings in order to quantify muscle fatigue. This system is composed of three parts. A Labview software managing the stimulation output and electromyogram (EMG) input signal, a hardware part amplifying the output and input signal and a link between the two previous parts which is made up from input/output module (NIdaq USB 6251). In order to characterize the fatigue level, the Continuous Wavelet Transform is applied yielding a local maxima detection. The fatigue is represented on a scale from 0 for a fine shaped muscle to 100 for a very tired muscle. Premilary results are given.

yearjournalcountryeditionlanguage
2010-08-312010 Annual International Conference of the IEEE Engineering in Medicine and Biology
https://doi.org/10.1109/iembs.2010.5627264